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The core of this research lies in the “science of science”—using large-scale data from scientific articles, patents, and grants to characterize the dynamics of research and innovation. A central
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the possibility to be extended to a second-year. Responsibilities: • Use advanced econometric methods to analyze large-scale datasets, including claims data • Produce policy-relevant research, including coauthoring
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) utilizing integrative data analysis to harmonize phenotypic data across a number of large, genetically-informed longitudinal study samples with the goal of characterizing the longitudinal interplay between
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, graphs); experience with analysis and processing of large volumes of data; development of reproducible scientific software; proficiency in Python and libraries (Pandas/NumPy and PyTorch/TensorFlow/Scikit
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proteins and pathways implicated on disease pathogenesis. We are currently analyzing brain, CSF and blood, multi-omic data (transcriptomics, proteomics and metabolomics), from a large collection of well
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given to candidates with expertise and experience with large language models (programming, benchmarking, human-centered evaluation), strong data science / computational modeling / statistical analysis
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. AI4GI develops tailor-made neural network architectures, including sparse and biologically informed models, to predict disease risk and complex quantitative traits from large-scale genomic data such as
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. DESIRABLE EXPERIENCE Ecosystem monitoring and vegetation indices. Time-series analysis of environmental or satellite data. Cloud-based geospatial computing and large-scale data synthesis. CONTRACT DETAILS
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laboratory (group website ) at CWRU and at large national facilities. The candidate will join an extensive network of research collaborators at institutions across the US (Harvard, Penn State, Brookhaven, and
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the day) to accommodate your needs. Working remotely is possible for up to 1 day/week. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old Road Campus, Oxford